Senior Machine Learning Engineer

VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday.  We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it - people who challenge the status quo and embody our values.  People who say “I’ll find a way” instead of saying “it can’t be done.”

Our engineers are passionate about creating quality, trusted solutions as part of a collaborative and dynamic organization. The successful candidate will be a detailed-oriented self-starter with a passion for growth and a high standard for their work.

At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising. 

Role and Responsibilities

United States, Remote

We are looking for a Senior Machine Learning Engineer who is passionate about finding novel ways to test data. You will be working on enhancing top-flight datasets and innovative data products. Data quality and best practices are at the core of our team ethos as we support a fast-moving, highly cross-functional organization.

• Design and implement complex machine learning models and algorithms.
• Conduct thorough experiments and validations of machine learning models.
• Develop and maintain scalable and efficient infrastructure for ML models.
• Keeping up-to-date with the latest developments in machine learning.
• Mentor and coach junior team members in machine learning best practices.
• Present and communicate the results of machine learning projects to stakeholders.

Technology We Use

• Python, Spark, SQL (Snowflake a plus)
• AWS Ecosystem Experience
• Hive, HDFS
• Kubernetes, Docker 
• Airflow

Qualifications

• 5+ years of Data Engineering
• Strong knowledge of methodology and tools to increase data quality
• Hands on experience working with continuous integration tools such as Jenkins
• Experience with source control systems such as GitHub
• Expert knowledge of writing technical documentation/defects and issues
• Understanding of ad-tech terms and methodologies a plus

What We Offer

Minimum base salary of $160,000 - $170,000 + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.

• Discretionary and flexible paid time off
• In addition to standard US holidays off, VideoAmp employees receive a full week off for Summer Break and another full week off for Winter Break
• Comprehensive medical, dental, and vision benefits for you and your dependents - including multiple options fully covered by VideoAmp
• Professional and personal support with licensed therapists and career coaches
• Unlimited financial wellness sessions with Origin financial advisors
• 401k Plan
• Pre-Tax Savings Plans, HSA & FSA
• $10,000 towards services and treatments that support family planning
• Cell Phone Reimbursement
• Paid Maternity and Parental Leave for All Family Additions

We are on a collective mission to bring equity and transparency into media measurement, and that begins with an honest, inclusive culture. At VideoAmp, we empower our team to thrive through collaboration, mentorship, and innovation. If you're passionate about all things data and tech, and have extensive knowledge and curiosity around the digital media space, we’d love to hear from you.

Above all, if you're eager to influence and support the revolutionary goals of a dynamic, cross-functional team -  join us and make an impact!

#LI-Remote